Identification of distributed parameter systems using subspace methods

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In industry, distributed parameter systems are widespread. Many high performance control methods have been proposed for distributed parameter systems but most have not been able to be applied in practice. However, high fidelity models are necessary to promote advanced control methods to industrial applications. This research program proposes to develop identification techniques using empirical data so that distributed parameter models for industrial systems can be obtained with high accuracy.